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by Christian Jacob
List Price: $69.95
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Reviews
Amazon.com
Living organisms manage to solve all kinds of deviously complex problems with a natural simplicity that leaves programmers speechless. Incorporating techniques based on principles elaborated by Darwin and his intellectual descendents, a new generation of hackers has tackled hairy challenges with surprising success. Christian Jacob introduces interested programmers and scientists to these tools in Illustrating Evolutionary Computation with Mathematica, translated from German by the author. The basics of biological evolution through mutation and adaptation are covered quickly before they are adapted themselves to the purposes of computer-aided problem solving. Jacob then explores the fundamentals of evolutionary computing through well-illustrated examples and a good balance of text, formulae, and code. Genetic algorithms, evolutionary strategies, and finite state automata each get their share of attention and integration with Evolvica, Jacob's Mathematica-based genetic programming system. The system and Web enhancements to the book are available through the University of Calgary's site and are essential for getting the most from the text. The last few chapters cover advanced applications like the classic "hungry ants" programs, cellular automata, and artificial plant evolution, suggesting further possibilities for this programming frontier. Illustrating Evolutionary Computation with Mathematica is an excellent introduction and handbook for those wishing to harness the power of this vigorous new hybrid. --Rob Lightner
Book Description
An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation with Mathematica introduces evolutionary computation to the technically savvy reader who wishes to explore this fascinating and increasingly important field. Unique among books on evolutionary...  read more
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Copyright (c) by Eugene Kisly and Victor Kisly, 1999-2000
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